Fold 0
Model 0 best validation auc = 0.807042 on epoch 5
Model 0 test auc = 0.912101
Ensemble test auc = 0.912101
Fold 1
Model 0 best validation auc = 0.788732 on epoch 7
Model 0 test auc = 0.872968
Ensemble test auc = 0.872968
Fold 2
Model 0 best validation auc = 0.807042 on epoch 6
Model 0 test auc = 0.895846
Ensemble test auc = 0.895846
Fold 3
Model 0 best validation auc = 0.807512 on epoch 4
Model 0 test auc = 0.860927
Ensemble test auc = 0.860927
Fold 4
Model 0 best validation auc = 0.805634 on epoch 8
Model 0 test auc = 0.911499
Ensemble test auc = 0.911499
Fold 5
Model 0 best validation auc = 0.810329 on epoch 8
Model 0 test auc = 0.889825
Ensemble test auc = 0.889825
Fold 6
Model 0 best validation auc = 0.807981 on epoch 13
Model 0 test auc = 0.934377
Ensemble test auc = 0.934377
Fold 7
Model 0 best validation auc = 0.822535 on epoch 5
Model 0 test auc = 0.906683
Ensemble test auc = 0.906683
Fold 8
Model 0 best validation auc = 0.791549 on epoch 8
Model 0 test auc = 0.937989
Ensemble test auc = 0.937989
Fold 9
Model 0 best validation auc = 0.817840 on epoch 5
Model 0 test auc = 0.872366
Ensemble test auc = 0.872366
10-fold cross validation
Seed 0 ==> test auc = 0.912101
Seed 1 ==> test auc = 0.872968
Seed 2 ==> test auc = 0.895846
Seed 3 ==> test auc = 0.860927
Seed 4 ==> test auc = 0.911499
Seed 5 ==> test auc = 0.889825
Seed 6 ==> test auc = 0.934377
Seed 7 ==> test auc = 0.906683
Seed 8 ==> test auc = 0.937989
Seed 9 ==> test auc = 0.872366
Overall test auc = 0.899458 +/- 0.024672
